{"title":"Design of smart wearable Bracelet based on Android mobile phone","authors":"Deng Yang, LiHui Rong","doi":"10.1109/ICEICT55736.2022.9908839","DOIUrl":null,"url":null,"abstract":"Nowadays, the population is gradually aging, and people pay more and more attention to the health of the elderly. In this paper, a wearable bracelet is designed by using wearable technology, signal processing and Bluetooth communication technology. The device can obtain the body posture and body parameters of the elderly in real time, and understand the health status of the elderly. The experimental results show that the device can accurately detect human motion posture, including sleep posture, walking or running state, fall and human heart rate parameters, and the error of heart rate parameters is within ± 2 times, which can provide help for the daily health monitoring of the elderly.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT55736.2022.9908839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Nowadays, the population is gradually aging, and people pay more and more attention to the health of the elderly. In this paper, a wearable bracelet is designed by using wearable technology, signal processing and Bluetooth communication technology. The device can obtain the body posture and body parameters of the elderly in real time, and understand the health status of the elderly. The experimental results show that the device can accurately detect human motion posture, including sleep posture, walking or running state, fall and human heart rate parameters, and the error of heart rate parameters is within ± 2 times, which can provide help for the daily health monitoring of the elderly.